Clinical documentation is a critical tool in supporting care provided to patients. Sound documentation provides a picture of clinical events that can be used to improve patient care. However, many other uses for clinical documentation are equally important. Such documentation informs clinical decision support tools, creates a legal record of patient care, assists in financial reimbursement of services, and serves as a repository for secondary data analysis. Conversely, poor documentation can impair patient safety and increase malpractice risk exposure by reflecting poor or inaccurate information that ultimately may guide patient care decisions.Through an examination of anesthesia-related closed claims, a descriptive qualitative study emerged, which explored the antecedents and consequences of documentation quality in the claims reviewed. A secondary data analysis utilized a database generated by the American Association of Nurse Anesthetists Foundation closed claim review team. Four major themes emerged from the analysis. Themes 1, 2, and 4 primarily describe how poor documentation quality can have negative consequences for clinicians. The third theme primarily describes how poor documentation quality that can negatively affect patient safety.
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http://dx.doi.org/10.1097/CIN.0000000000000270 | DOI Listing |
BMC Musculoskelet Disord
January 2025
Department of Orthopaedics, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands.
Background: Patellofemoral pain (PFP) is a common musculoskeletal disorder resulting in anterior knee pain. Physiotherapy is the current standard treatment, while surgical intervention (tibial tubercle transfer [TTT]) is reserved for chronic cases when nonoperative treatment has failed. TTT can result in clinically meaningful improvement in patients with patellofemoral maltracking without instability.
View Article and Find Full Text PDFSci Data
January 2025
Shandong Key Laboratory of Disease Control in Mariculture, Key Laboratory of Benthic Fisheries Aquaculture and Enhancement, Marine Science Research Institute of Shandong Province (National Oceanographic Center, Qingdao), Qingdao, 266104, China.
Fat greenling (Hexagrammos otakii Jordan & Starks, 1895) is a valuable marine fish species, crucial for aquaculture in Northern China due to its high-quality meat and significant economic value. However, the aquaculture industry faces challenges such as trait degradation, early sexual maturity, and disease susceptibility, necessitating advanced genomic interventions for sustainable cultivation. This study presents the first chromosomal-level genome assembly of H.
View Article and Find Full Text PDFRadiat Oncol
January 2025
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Background And Purpose: Treatment record contains most of information related to treatment plan delivery in radiation therapy. Reviewing treatment record is an important quality assurance (QA) task for safety and quality of patient treatments. This task is usually performed by senior medical physicists.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Summary: Time-lapse 3D imaging is fundamental for studying biological processes but requires software able to handle terabytes of voxel data. Although many multidimensional viewing applications exist, they mostly lack support for heterogeneous voxel counts, datatypes, and modalities in a single timeline. Open Chrono-Morph Viewer provides a straightforward graphical user interface to quickly investigate multi-timescale datasets represented as separate volume files in the common NRRD format for compatibility between toolchains.
View Article and Find Full Text PDFOphthalmologie
January 2025
Augenklinik Sulzbach, Knappschaftsklinikum Saar, An der Klinik 10, 66280, Sulzbach/Saar, Deutschland.
Background: The increasing bureaucratic burden in everyday clinical practice impairs doctor-patient communication (DPC). Effective use of digital technologies, such as automated semantic speech recognition (ASR) with automated extraction of diagnostically relevant information can provide a solution.
Objective: The aim was to determine the extent to which ASR in conjunction with semantic information extraction for automated documentation of the doctor-patient dialogue (ADAPI) can be integrated into everyday clinical practice using the IVI routine as an example and whether patient care can be improved through process optimization.
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